Evidence map›Paper›PMID 38470926›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Heritability within groups is uninformative about differences among groups: Cases from behavioral, evolutionary, and statistical genetics.

Joshua G Schraiber, Michael D Edge

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Patterns of brain-wide associations reflect socioeconomics.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Interpreting SNP heritability in admixed populations.bioRxiv : the preprint server for biology · 2025
    Article
  8. Error rates inbioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Joshua G SchraiberDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089-2911.ORCID 0000-0002-7912-2195
Michael D EdgeDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089-2911.ORCID 0000-0001-8773-2906

Funding

Traits on trees: Population genomics for understanding complex phenotypesR35GM137758 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Michael Donald Edge · 2020 to 2026
$2.5M
NIGMS NIH HHS R35 GM137758
6 · The paper itself

Abstract

Without the ability to control or randomize environments (or genotypes), it is difficult to determine the degree to which observed phenotypic differences between two groups of individuals are due to genetic vs. environmental differences. However, some have suggested that these concerns may be limited to pathological cases, and methods have appeared that seem to give-directly or indirectly-some support to claims that aggregate heritable variation within groups can be related to heritable variation among groups. We consider three families of approaches: the "between-group heritability" sometimes invoked in behavior genetics, the statistic [Formula: see text] used in empirical work in evolutionary quantitative genetics, and methods based on variation in ancestry in an admixed population, used in anthropological and statistical genetics. We take up these examples to show mathematically that information on within-group genetic and phenotypic information in the aggregate cannot separate among-group differences into genetic and environmental components, and we provide simulation results that support our claims. We discuss these results in terms of the long-running debate on this topic.

Indexed as

Biological EvolutionGenetics, PopulationComputer SimulationGenetic VariationGenotypeHumansPhenotypeadmixtureheritabilitylocal adaptationquantitative genetics

Identifiers

PMID38470926
PMCPMC10962975

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.